OMG you made a killing Akshay
I am so happy for u

How to create a freelancing website that makes money.

Everything I've learned.

A thread.

As a freelancer,

Your website is everything.

First, prioritise its existence.

Second, prioritise its improvement.

The technology you use is irrelevant.

- WordPress
- Notion
- Carrd
- Wix

It doesn't matter which you choose,

What matters is you have a website.

Pick a platform that you're comfortable with.

If you can:

- Capture leads
- Add content easily
- Have a clear design

You're good.

If your website doesn't get leads,

It's not working.

Don't rest on a website that doesn't work for you.

Improve it until it does.

1/ Productivity tip: when I keep procrastinating on something I often trick myself by saying, "ok just work on it for the next 20 minutes" or some short period of time, "and then you can chill/relax guilt free" and give myself some treat (sugar, netflix, etc)

2/ Usually at the 20 minute mark (sometimes I set a timer) I'm so engrossed in what I'm doing that I don't want want to stop and end up working on it for the next hour or two. But getting started seems to be the hardest part.

3/ Key to this: you have to actually be ok with stopping after 20 minutes and being guilt free if that's how you feel. So it's not a trick, i have the option every time, I just often don't want to use it once i'm in the zone.

I got a Toshiba T1200, which has a bad screen, and a dead CMOS battery, and I thought the hard drive was broken too...

but I rebooted it and heard a KTHUNK and a really loud spin-up noise and holy shit, the hard drive works!

and it still has files on it. the newest date is January 1994.

It's a 21mb hard drive, with ~37k of bad sectors.

This fucker is never going to spin up again, so I better go find some serial cables and copy shit off now.

The backlight is fucked so I'm shining a flashlight on it.
without it, it looks like this.

1 There's a chasm between an NLP technology that works well in the research lab and something that works for applications that real people use. This was eye-opening when I started my career, and every time I talk to an NLP engineer at @textio, it continues to strike me even now.

2 Research conditions are theoretical and/or idealized. A huge problem for so-called NLP or AI startups with highly credentialed academic founders is that they bring limited knowledge of what it takes to build real products outside the lab.

3 A product is ultimately a thing that people pay for - not just cool technology or user experience. But I’m not even talking about knowledge gaps in go-to-market work. I'm talking purely technical gaps: how you go from science project to performant + delightful user experience.

4 Most commoditized NLP packages solve well-understood problems in standard ways that sacrifice either precision or performance. In a research lab, this is not usually a hard trade-off; in general, no one is using what you make, so performance is less important than precision.

5 In software, when you’re making something for real people to use, these tradeoffs are a big deal. Especially if you’re asking those people to pay for what you’ve made (can’t get away from that pesky GTM thinking). They expect quality, which includes precision AND performance.